source.cpp

/*
 SYCL Academy (c)

 SYCL Academy is licensed under a Creative Commons
 Attribution-ShareAlike 4.0 International License.

 You should have received a copy of the license along with this
 work.  If not, see <http://creativecommons.org/licenses/by-sa/4.0/>.

 * SYCL Quick Reference
 * ~~~~~~~~~~~~~~~~~~~~
 *
 * // Default construct a queue
 * auto q = sycl::queue{};
 *
 * // Construct an in-order queue
 * auto q = sycl::queue{sycl::default_selector_v,
 *        {sycl::property::queue::in_order{}}};
 *
 * // Declare a buffer pointing to ptr
 * auto buf = sycl::buffer{ptr, sycl::range{n}};
 *
 * // Do a USM memcpy
 * auto event = q.memcpy(dst_ptr, src_ptr, sizeof(T)*n);
 * // Do a USM memcpy with dependent events
 * auto event = q.memcpy(dst_ptr, src_ptr, sizeof(T)*n, {event1, event2});
 *
 * // Wait on an event
 * event.wait();
 *
 * // Wait on a queue
 * q.wait();
 *
 * // Submit work to the queue
 * auto event = q.submit([&](sycl::handler &cgh) {
 *   // COMMAND GROUP
 * });
 *
 *
 * // Within the command group you can
 * //    1. Declare an accessor to a buffer
 *          auto read_write_acc = sycl::accessor{buf, cgh};
 *          auto read_acc = sycl::accessor{buf, cgh, sycl::read_only};
 *          auto write_acc = sycl::accessor{buf, cgh, sycl::write_only};
 *          auto no_init_acc = sycl::accessor{buf, cgh, sycl::no_init};
 * //    2. Enqueue a parallel for:
 * //             i: With range:
 *                    cgh.parallel_for<class mykernel>(sycl::range{n},
 *                    [=](sycl::id<1> i) { // Do something });
 * //             ii: With nd_range:
 *                    cgh.parallel_for<class mykernel>(sycl::nd_range{
 *                        globalRange, localRange}, [=](sycl::nd_item<1> i) {
 *                        // Do something
 *                      });
*/

#include "../helpers.hpp"

int main() {
  constexpr size_t dataSize = 1024;

  int a[dataSize], b[dataSize], r[dataSize];
  for (int i = 0; i < dataSize; ++i) {
    a[i] = i;
    b[i] = i;
    r[i] = 0;
  }

  // Task: parallelise the vector add kernel using nd_range
  for (int i = 0; i < dataSize; ++i) {
    r[i] = a[i] + b[i];
  }

  for (int i = 0; i < dataSize; ++i) {
    SYCLACADEMY_ASSERT(r[i] == i * 2);
  }
}